Open Positions

Senior Research Nurse Coordinator. Apply Now.

See below for full description.

Postdoctoral Research Associate. Apply Now.

See below for full description.

Senior Research Nurse Coordinator


Under the direction of the Vice Chancellor of Health Affairs, the Quality Improvement (QI) Nurse will work with the Texas Collaborative for Healthy Mothers and Babies (TCHMB) to assure that learning collaborative projects incorporate a QI model.  The QI nurse will provide training on QI tools and strategies to TCHMB workgroups and participating hospitals and facilities.  The QI nurse will advise participating hospitals and facilities on QI implementation strategies, and train hospital clinical and non-clinical staff on evidence-based or developed clinical interventions, tool kits or programs.  The QI nurse will work with other TCHMB staff to develop evaluation strategies, collect project-related metrics, and compile findings.   The QI nurse will work closely with other research staff to design research and identify data needs.

This QI nurse will maintain their nursing and QI certifications and continued education needs. The QI nurse will stay current on new practices and literature related to QI strategies.  This position will be based in Austin, Texas. In-state travel is required for this position (20-30%) to assist project sites in implementation of QI projects within their practices or to attend project-related meetings.  There will be potential for out-of-state travel to present findings at scientific conferences (depending on availability of funds). The QI nurse will be involved with developing grants focused on improving health outcomes and services for maternal and infants’ health in Texas. The position is funded through a contract with a 2-year term, which has the potential for further extension.


Required Education / Experience:

  • Education:  RN and certification in Quality Improvement (QI). 
  • Experience: At least 2 years’ experience implementing QI projects in a hospital setting.  Experience training both clinical and non-clinical staff on QI methods and in data collection and reporting.  Experience managing research projects. Works well in diverse team settings.  Prefer hospital-based experience in obstetrics or neonatal care.

Postdoctoral Research Associate


Population Health at the UT System Office of Health Affairs is seeking candidates for a full-time Postdoctoral Fellow position. The successful candidate will assist in developing and analyzing data for a state-wide initiative for the Department of Family and Protective Services. This analysis project will require analyzing and gathering publically available data sets to link with administrative data within geographically defined communities. This position is based in Austin, Texas. The position requires up to 10% travel, both for project meetings with collaborators and travel to conferences. Postdoctoral position is a temporary 1-year position with an opportunity to be extended another year after favorable performance review.

Major Responsibilities / Duties / Critical Tasks:

  • Secondary analyses of hospital administrative data, vital records data, Child Protective Services data, and publically available data
  • Generates research hypotheses and analysis plans to test them with guidance from the PI
  • Develop well documented scripts for data matching, cleaning, reduction, and analysis
  • Work with the project PI to oversee and mentor graduate students assisting with the project
  • Identify, synthesize and summarize relevant information from peer-reviewed articles and professional reports
  • Manage and create documentation for diverse dataset
  • Writing reports and manuscripts for publication
  • Submit and present results at conferences and to state agencies, as requested
  • Attends lunch and learn meetings (via webinar) with biostatistics faculty in Tyler
  • Attends meetings (virtually and in person) with collaborators in Houston 


Accompanying Knowledge, Skills, Abilities and Competencies:

  • Strong statistics background and experience with multi-level modeling or latent growth modeling
  • Knowledge of at least one factor or latent class analysis technique
  • Ability to conduct descriptive data analyses and basic regression analyses  
  • A good understanding of the types of publically available data that are used in social determinant of health research and have experience utilizing these data sets.
  • Knowledge of social determinants of health frameworks and theories
  • Strong scripting skills with R, Python, STATA or SAS and experience analyzing data in R, SAS, or STATA including writing syntax
  • Strong communication skills with clear and succinct writing

Required Education / Experience:

Post-doctoral applicants must possess a PhD degree in a social science related field or public health. A.B.D. candidates must have their dissertation defended before hire date.